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From octo
Analyzes content from one or more URLs to extract structural, psychological, and mechanical patterns, then produces an anatomy guide and interview questions for content recreation.
How this command is triggered — by the user, by Claude, or both
Slash command
/octo:pipelinecommands/The summary Claude sees in its command listing — used to decide when to auto-load this command
# /octo:pipeline **Your first output line MUST be:** `🐙 Octopus Content Pipeline` Analyze content from URLs to extract patterns, psychological techniques, and structural elements. **Usage:** **What it does:** 1. Validates and fetches content from URLs 2. Deconstructs patterns (structure, psychology, mechanics) 3. Synthesizes findings into an anatomy guide 4. Generates interview questions for content recreation **See:** skill-content-pipeline for full documentation. --- **Example:**
Your first output line MUST be: 🐙 Octopus Content Pipeline
Analyze content from URLs to extract patterns, psychological techniques, and structural elements.
Usage:
/octo:pipeline <url>
/octo:pipeline <url1> <url2> <url3>
What it does:
See: skill-content-pipeline for full documentation.
Example:
/octo:pipeline https://example.com/great-article
→ Fetching content...
→ Analyzing structure, psychology, mechanics...
→ Generating anatomy guide...
→ Creating interview questions...
✓ Analysis complete! See results below.
npx claudepluginhub mvandermeulen/claude-octopus/pipelineAnalyzes content from one or more URLs to extract structural, psychological, and mechanical patterns, then produces an anatomy guide and interview questions for content recreation.
/analyzeAnalyzes any content (URL, file, or pasted text), saves results to memory with progressive enrichment, and generates a knowledge graph visualization of extracted entities and relationships.
/site-analysisAnalyzes a website URL in quick or deep mode and generates structured reports on site architecture, SEO insights, page structure, component specs, and agent handoff prompts.
/rank-contentAnalyzes HTML pages for content quality — readability scores, passive voice, duplicate detection, thin content, wall-of-text paragraphs, and internal linking suggestions. Produces a per-page analysis table with actionable recommendations.
/audit-ai-contentScans a page for 24 AI-generated writing patterns, scores AI-likelihood, provides humanization edits, reconstructs E-E-A-T signals, and compares against top competitors.
/geo-content-auditAnalyzes content for AI search engine citation optimization potential (GEO), scoring across 6 dimensions, identifying citation barriers, and generating prioritized optimization suggestions.